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Advances in Clinical and Experimental Medicine
Advances
in Clinical and Experimental
Medicine

MONTHLY ISSN 1899-5276 (PRINT) ISSN 2451-2680 (ONLINE)   www.advances.umed.wroc.pl

2020, Vol. 29, No. 2 (February)

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Advances in Clinical and Experimental Medicine
Advances
in Clinical and Experimental
                   Medicine
Advances in Clinical and Experimental Medicine
Advances
in Clinical and Experimental Medicine
ISSN 1899-5276 (PRINT)                                  ISSN 2451-2680 (ONLINE)                             www.advances.umed.wroc.pl

MONTHLY 2020                                            Advances in Clinical and Experimental Medicine is a peer-reviewed open access journal published
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Advances in Clinical and Experimental Medicine
Advances
in Clinical and Experimental Medicine                                                                                          ISSN 1899-5276 (PRINT)
                                                                                                                              ISSN 2451-2680 (ONLINE)
MONTHLY 2020, Vol. 29, No. 2 (February)                                                                                     www.advances.umed.wroc.pl

Contents
Original papers
177     Paweł Kubasiewicz-Ross, Małgorzata Fleischer, Artur Pitułaj, Jakub Hadzik, Izabela Nawrot-Hadzik, Olga Bortkiewicz,
        Marzena Dominiak, Kamil Jurczyszyn
        Evaluation of the three methods of bacterial decontamination on implants with three different surfaces
183     Łukasz Smoliński, Tomasz Litwin, Karolina Kruk, Marta Skowrońska, Iwona Kurkowska-Jastrzębska, Anna Członkowska
        Cerebrovascular reactivity and disease activity in relapsing-remitting multiple sclerosis
189     Karolina Stokfisz, Anna Ledakowicz-Polak, Maciej Zagórski, Sławomir Jander, Katarzyna Przybylak, Marzenna Zielińska
        The clinical utility of remote ischemic preconditioning in protecting against cardiac surgery-associated
        acute kidney injury: A pilot randomized clinical trial
197     Bożenna Dembowska-Bagińska, Anna Wakulińska, Iwona Daniluk, Joanna Teisseyre, Irena Jankowska, Piotr Czubkowski,
        Ryszard Grenda, Wioletta Jarmużek, Wiesława Grajkowska, Jagoda Małdyk, Piotr Kaliciński
        Non-Hodgkin lymphoma after liver and kidney transplantation in children. Experience from one center
203     Joanna Małgorzata Przepiórka-Kosińska, Joanna Bartosińska, Dorota Raczkiewicz, Iwona Bojar, Jakub Kosiński, Dorota Krasowska,
        Grażyna Chodorowska
        Serum concentration of osteopontin and interleukin 17 in psoriatic patients
209     Wojciech Wilkoński, Lidia Jamróz-Wilkońska, Szczepan Zapotoczny, Janusz Opiła, Jerzy Krupiński, Jolanta Pytko-Polończyk
        The effects of alternate irrigation of root canals with chelating agents and sodium hypochlorite on the effectiveness
        of smear layer removal
215     Andrzej B. Hendrich, Paulina Strugała, Anna Dudra, Alicja Z. Kucharska, Anna Sokół-Łętowska, Dorota Wojnicz, Agnieszka Cisowska,
        Zbigniew Sroka, Janina Gabrielska
        Microbiological, antioxidant and lipoxygenase-1 inhibitory activities of fruit extracts of chosen Rosaceae family species
225     Rafał Januszek, Artur Pawlik, Bartłomiej Staszczak, Magdalena Jędrychowska, Jerzy Bartuś, Jacek Legutko, Dariusz Dudek,
        Andrzej Surdacki, Stanisław Bartuś
        Age and gender differences in clinical outcomes of patients with heavy-calcified coronary artery lesions treated
        percutaneously with rotational atherectomy
235     Dominika Ligia Wcisło-Dziadecka, Beniamin Grabarek, Celina Kruszniewska-Rajs, Joanna Magdalena Gola,
        Klaudia Simka, Urszula Mazurek
        Analysis of the clinical response and changes in the expression of TNF-α and its TNFR1 and TNFR2 receptors
        in patients with psoriasis vulgaris treated with ustekinumab
243     Tomasz Ociepa, Wioletta Posio, Marcin Sawicki, Tomasz Urasiński
        CIMT does not identify early vascular changes in childhood acute lymphoblastic leukemia survivors
251     Paulina Czechowicz, Małgorzata Małodobra-Mazur, Arleta Lebioda, Anna Jonkisz, Tadeusz Dobosz, Robert Śmigiel
        Polymorphisms of the MTHFR gene in mothers of children with trisomy 21 (Down syndrome) in a Polish population

Reviews
257     Krzysztof Wytrychowski, Anna Hans-Wytrychowska, Paweł Piesiak, Marta Majewska-Pulsakowska, Krystyna Rożek-Piechura
        Pulmonary rehabilitation in interstitial lung diseases: A review of the literature
265     Andrzej Stawarski, Paweł Maleika
        Neuroendocrine tumors of the gastrointestinal tract and pancreas: Is it also a challenge for pediatricians?

© Copyright by Wroclaw Medical University, Wrocław 2020
Advances in Clinical and Experimental Medicine
Advances in Clinical and Experimental Medicine
Original papers

Evaluation of the three methods of bacterial decontamination
on implants with three different surfaces
Paweł Kubasiewicz-Ross1,A,C,D, Małgorzata Fleischer2,B,C, Artur Pitułaj1,A–C, Jakub Hadzik1,A,D,F,
Izabela Nawrot-Hadzik3,E, Olga Bortkiewicz2,B,C, Marzena Dominiak1,F, Kamil Jurczyszyn1,A–C,E
1
  Department of Oral Surgery, Wroclaw Medical University, Poland
2
  Department of Microbiology, Wroclaw Medical University, Poland
3
  Department of Biology and Pharmaceutical Botany, Wroclaw Medical University, Poland

A – research concept and design; B – collection and/or assembly of data; C – data analysis and interpretation;
D – writing the article; E – critical revision of the article; F – final approval of the article

    Advances in Clinical and Experimental Medicine, ISSN 1899–5276 (print), ISSN 2451–2680 (online)                                         Adv Clin Exp Med. 2020;29(2):177–182

Address for correspondence
Paweł Kubasiewicz-Ross
                                                                  Abstract
E-mail: pawelkubasiewicz@wp.pl                                    Background. The main goal of the treatment of the peri-implantitis is to decontaminate the surface
                                                                  of the implant, thereby enabling further treatment involving, e.g., guided bone regeneration. Since new
Funding sources
None declared
                                                                  implants of the rougher surface were introduced to the common dental practice, decontamination is even
                                                                  more difficult.
Conflict of interest                                              Objectives. The aim of the study was to evaluate 3 different methods of decontaminating implants with
None declared
                                                                  3 different surfaces.
                                                                  Material and methods. A total of 30 dental implants with 3 different surface types (machined, sandblasted,
Received on March 13, 2019                                        and acid-etched (SLA) and hydroxyapatite (HA)-coated) were used in the study. Each group of implants was
Reviewed on March 28, 2019
Accepted on September 25, 2019
                                                                  coated with Escherichia coli biofilm and cultivated. Afterwards, the implants were transferred to the jaw model
                                                                  and treated with a different method: sonic scaler mechanical debridement with a Woodpecker PT5 sonic
Published online on February 25, 2020                             scaler (1st group), and mechanical debridement with sonic scaler and with the combination with chemical
                                                                  agent Perisolv® (2nd group), and with Er:YAG laser treatment (3rd group). Each implant was treated with
                                                                  the specific method and sent for further microbiological evaluation.
                                                                  Results. The highest level of decontamination was achieved for machined-surface implants and the lowest
                                                                  for HA-coated implants. The method with the highest biofilm reduction was the scaler and Perisolv® group.
                                                                  The highest level of decontamination of HA-coated implants were achieved for Er:YAG laser irradiation method.
                                                                  Conclusions. In the following paper, the superiority of combined chemical-mechanical method of decon-
                                                                  taminating the surface of the implant on SLA and machined-surface implants was proved. On the contrary,
                                                                  Er:YAG laser irradiation was reported as the best option for decontamination of the HA-coated implants.
                                                                  In our opinion, it is a significant finding, revealing that the method of peri-implantitis management should be
Cite as                                                           considered in accordance to the type of the surface of the implant (customized to the surface of the implant).
Kubasiewicz-Ross P, Fleischer M, Pitułaj A, et al. E­ valuation
of the three methods of bacterial decontamination                 Key words: implant surface, implant surface treatment, bacterial coating
on implants with three different surfaces. Adv Clin Exp Med.
2020;29(2):177–182. doi:10.17219/acem/112606

DOI
10.17219/acem/112606

Copyright
© 2020 by Wroclaw Medical University
This is an article distributed under the terms of the
Creative Commons Attribution 3.0 Unported (CC BY 3.0)
(https://creativecommons.org/licenses/by/3.0/)
Advances in Clinical and Experimental Medicine
178                                                                                 P. Kubasiewicz-Ross et al. Decontamination methods of implants

Introduction                                                          metallic implants are coated with the bioactive compounds
                                                                      that accelerate bone formation or a rough surface is formed
   With the increasing number of patients treated with den-           directly on the metallic implants.11 Both techniques increase
tal implants, a corresponding number of post-treatment                the roughness of the surface of the implant, making os-
complications can be expected. The most common compli-                teointegration more favorable. However, as a result, it fa-
cation in dental implant therapy is peri-implantitis.1 It is de-      cilitates biofilm formation on dental implant surfaces.1,2,3,6
fined as an inflammatory reaction that affects the hard               To the best of our knowledge, there are very few studies
and soft tissue, which results in the loss of supporting bone         that evaluate various decontamination methods on different
and gingival pocket formation surrounding the function-               surfaces of the implants.
ing osseointegrated implant.2 This pathological condition
is caused by a polymicrobial aggressive biofilm that colo-
nizes the implant and abutment surface at the peri-implant            Material and methods
crevice level. It is reported that its prevalence can rise up
to 56%.1–3 Anaerobic Gram-negative organisms are most                   The study was conducted on a total number of 30 dental
commonly found in peri-implantitis-affected sites and in-             implants. Implants were divided into 3 equal groups with
clude in among others: Aggregatibacter actinomycetemcomi-             10 implants in each group. All the implants had the same
tans, Porphyromonas gingivalis, Peptostreptococcus micros,            length and diameter of L12Ø4 mm. The 1st group was ma-
Campylobacter rectus, Fusobacterium spp., and Prevotel-               chined-surface (M) implants (SGS Dental Implant System
la intermedia, although there are also studies reporting              Holding – Zn, St. Gallen, Switzerland). In the 2nd group,
the role of enteric rods (mostly Escherichia coli and Entero-         Denium Superline II (Dentium, Seoul, South Korea) sand-
bacter cloace) in this pathology, especially at its early stage.4,5   blasted and acid-etched dental implants (SLA) were used.
   Because of its complexity, peri-implantitis is still chal-         The 2rd group (HA) included the hydroxyapatite (HA)-coated
lenging to treat. Treatment involves decontamination and              dental implants (SGS Dental Implant System Holding – Zn).
guided bone and tissue regeneration techniques. The decon-
tamination process is especially difficult because the meth-          Bacterial cultivation
od applied can destroy the fragile surface of the implant.
For this purpose a number of mechanical interventions (e.g.,            Peri-implantitis is caused by Gram-negative and anaero-
abrasive air powder, Teflon and plastic curettes, ultrasonic          bic bacteria and E. coli were used as a model for Gram-
devices) and chemical agents (e.g., chlorhexidine, hydrogen           negative bacteria. The reasons we did so is that there are
peroxide) solely or in combination have been described                many studies involving bacterial adhesion and decontami-
as methods for implant surface decontamination. Although              nation carried out on dental implants with E. coli as bac-
all mentioned procedures result in compromise, a success-             teria of choice, as well as because it is a readily available
ful gold standard method has not been yet established.                and easily cultivated aerobic microorganism.
An acceptable cleaning technique must be able to debride
and detoxify the surface without traumatizing it. Decon-              Material
tamination with a laser, photodynamic therapy (PDT) and
the application of chlorhexidine (CHX) does not seem                    The McConkey’s medium (BioMaxima SA, Lublin,
to alter the surfaces of the dental implants. However, PDT            Poland); Sugar broth (BioMaxima SA); Saponin (Sigma-
can make an adhesive layer on the surface of the treated              Aldrich, St. Louis, USA); reference strain: E. coli ATCC
implants, which can facilitate new plaque formation.6,7               25922.
Recent studies have reported that lasers can also be used
in peri-implantitis management. Previously, high-power                Conduct of the experiment
CO2, diode and erbium lasers were used frequently, due
to their hemostatic properties, selective calculus ablation           Preparation of the inoculums
and bactericidal effects. However, high-power lasers can
cause an undesired increase of temperature and have been                The E. coli ATCC 25922 strain from McConkey’s medium
recently replaced by Er:YAG laser. Another disadvantage               was seeded into sugar broth and incubated at 37°C for 24 h.
of lasers is the high cost of equipment.8–10                          From the obtained culture in sugar broth, an inoculum with
   Dental implant surface decontamination has become even             a density of 0.5 on the McFarland Scale (MFa) was prepared.
more complicated since the introduction of dental implants
with improved osteoconductive properties. Machined-sur-               Implants coating
face implants, which have been used for decades, have been
replaced by implants characterized by a rougher surface.                The inoculum prepared in this way, in the amount
There are 2 main paths that can be followed in order to im-           of 500 µL, was inoculated with 50 mL of sugar broth. Then,
prove the osteoconductivity of the titanium implants. These           the implant was aseptically inserted and the whole was
approaches can be classified into the following 2 techniques:         incubated at 37°C for 24 h.
Advances in Clinical and Experimental Medicine
Adv Clin Exp Med. 2020;29(2):177–182                                                                                     179

Preparation of implants for further tests

  After this time, the implants were removed from the cul-
ture and rinsed 3 times, in each case, in 10 mL of sterile
saline to remove the plankton forms of the culture, leav-
ing only the biofilm formed by E. coli on the surface. Such
prepared implants were transferred to the Department
of Oral Surgery for further tests.

Model of the jaw
   Before the decontamination process, each implant was
placed in peri-implantitis jaw model. The model was made
from acrylonitrile butadiene styrene (ABS) which is a com-        Fig. 1. Sonic scaler mechanical debridement
mon thermoplastic polymer. According to the cumulative
interceptive supportive therapy (CIST) protocol,12 me-
chanical debridement and surgical operation classification
is needed when the bone loss depth is greater than 5 mm.
Following this standard, 6-millimiter bone loss depth was
defined in our model. The artificial bone defect was cre-
ated by removing of the material with the calibrated tre-
phine drill around the implant side.

Decontamination protocols
  Every group of implants was decontaminated with 3 dif-
ferent methods. Before the decontamination process, each          Fig. 2. Application of the Perisolv®
implant was placed in peri-implantitis model. Different
protocols of implant surface decontamination were used
in the study:
  – Sonic scaler mechanical debridement with a Woodpecker
PT5 sonic scaler (Woodpecker, Guilin, China) (s). Each im-
plant was treated with a sonic device for 2 min alone (Fig. 1).
  – Mechanical debridement with sonic scaler and with
the combination with chemical agent Perisolv® (Regedent
AG, Zurich, Switzerland). Each implant was pre-treated
with ­Perisolv® application for 30 s, then sonic scaler was
applied for 2 min (s+p) (Fig. 2).
  – Er:YAG laser treatment. Implants were decontami-
nated with Er-YAG (LiteTouch™, Yokneam, Israel) laser
irradiation with a 1.3 × 17 mm tip, working up and down
continuously for 2 min, and the laser beam parameters
were set for 40 mJ, 0.80 W, 20 Hz (Er:YAG) (Fig. 3).              Fig. 3. Er:YAG laser irradiation
  Each implant was treated with the specific method and
sent for further microbiological evaluation. The procedure
for each implant was repeated 3 times and the results were        Reax Control; Heidolph Instruments GmbH & CO. KG,
averaged.                                                         Schwabach, Germany). The obtained suspension of strains
                                                                  (saponin solution and bacteria suspended in it, detached
Quantitative evaluation of microorganisms                         from the surface of the implant) was immediately cultured
present in the biofilm on the implants                            on McConkey’s medium. In the inoculation of bacteria,
                                                                  undiluted suspension was used, and suspension with dilu-
surface                                                           tions from 1:10 to 1:1,000 inoculating volume: 10 L, 20 L,
  Biofilm from the surface of the implants was removed            50 L, and 100 L. In order to obtain maximum separation
with the use of an aqueous saponin solution. The im-              of the biofilm, the procedure of its removal was repeated
plants (each separately) were placed in 1 mL of 0.5% sapo-        3 times. Inoculated plates with McConkey’s medium were
nin solution and shaken for 1 min (2,500 rpm; Heidolph            incubated at 37°C for 22–24 h.
Advances in Clinical and Experimental Medicine
180                                                                                         P. Kubasiewicz-Ross et al. Decontamination methods of implants

Reading the results                                                        120

                                                                           100
  After incubation, the colonies grown on the plates were
counted and the results obtained were given as the number                   80
of colony-forming units (CFU) per 1 mL. The percentage                                                                                                 M (S)

                                                                   R [%]
                                                                            60
of biofilm reduction R [%] after the tested factor of biofilm                                                                                          HA (S)
removal acted on was calculated according to the formula:                   40                                                                         SLA (S)

                 R = [(SC – S)/SC] • 100%,                                  20

  where SC (CFU/mL) – the total number of E. coli cells                         0
                                                                                    0       2          4          6      8        10         12
detached from the implant coating biofilm without the test                                                 No. of sample
factor acting (number of CFU/mL on the control implant);        Fig. 4. The results of scaler application on the decontamination
  S (CFU/mL) – the total number of E. coli cells detached       of the implant
from the implant coating biofilm, which remain after
the test factor acted.                                                  120
  In addition, to compare and reduce the measurement
                                                                        100
error, the degree of biofilm reduction was calculated after
the rejection of extreme values:                                           80

                R’ = [(S’C – S’)/S’C] • 100%,                   R [%]      60
                                                                                                                                                  M (S + P)
                                                                                                                                                  HA (S + P)
  where S’C (CFU/mL) – the total number of E. coli cells                   40                                                                     SLA (S + P)
detached from the implant coating biofilm without the test
                                                                           20
factor acting (number of CFU/mL on the control implant),
with no maximum or minimum value;                                           0
                                                                                0       2          4          6      8           10         12
  S’ (CFU/mL) – the total number of E. coli cells detached
                                                                                                       No. of sample
from the implant coating biofilm, which remain after
                                                                Fig. 5. The results of combined application of scaler and Perisolv
the test factor acted, with no maximum or minimum value.        application on the decontamination of the implant

Statistical analysis                                                    120

   Two-way analysis of variance (ANOVA) and Tukey’s post                100
hoc test were performed. All data is given as means ± stan-
                                                                           80
dard deviation (SD). A p-value
Adv Clin Exp Med. 2020;29(2):177–182                                                                                                                  181

Table 1. Differences in the percentage of biofilm reduction between applied methods in relation to the implant surface
  Biofilm                                         M;         M; Laser    HA;          HA;          HA; Laser     SLA;          SLA;         SLA; Laser
                                  M; Scal
 reduction                                  Scal.+Perisolv   Er:YAG     Scaler   Scal.+Perisolv     Er:YAG       Scal.    Scal.+Perisolv      Er:YAG
               M;
 98.7%                                          1.000
182                                                                                                 P. Kubasiewicz-Ross et al. Decontamination methods of implants

studies in the field of decontamination which are similar                       6.    Saffarpour A, Nozari A, Fekrazad R, Saffarpour A, Heibati MN, Iran-
                                                                                      parvar K. Microstructural evaluation of contaminated implant surface
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                                                                                      treated by laser, photodynamic therapy, and chlorhexidine 2 percent.
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Original papers

Cerebrovascular reactivity and disease activity
in relapsing-remitting multiple sclerosis
Łukasz SmolińskiA–F, Tomasz LitwinA–F, Karolina KrukB,F, Marta SkowrońskaA,B,F,
Iwona Kurkowska-JastrzębskaC,E,F, Anna CzłonkowskaA,C,E,F
Second Department of Neurology, Institute of Psychiatry and Neurology, Warszawa, Poland

A – research concept and design; B – collection and/or assembly of data; C – data analysis and interpretation;
D – writing the article; E – critical revision of the article; F – final approval of the article

  Advances in Clinical and Experimental Medicine, ISSN 1899–5276 (print), ISSN 2451–2680 (online)                                         Adv Clin Exp Med. 2020;29(2):183–188

Address for correspondence
Łukasz Smoliński
                                                               Abstract
E-mail: lsmolinski@ipin.edu.pl                                 Background. In multiple sclerosis (MS), insufficient blood supply might worsen energy deficiency of the brain
                                                               tissue. Thus, cerebrovascular reactivity (CVR), which is the capacity of cerebral circulation to match blood
Funding sources
None declared
                                                               supply to metabolic demand, might be important in MS pathology.
                                                               Objectives. The objective of this study was to investigate the relationship of CVR to disease activity and
Conflict of interest                                           neuroimaging markers of disease progression in patients with MS.
None declared
                                                               Material and methods. In 43 patients with relapsing remitting MS (RRMS) in clinical remission, 30 patients
                                                               with a relapse of MS and 30 healthy controls, we measured CVR with transcranial Doppler as a relative change
Received on February 25, 2019                                  in flow velocity after breath-holding (breath-holding index) and voluntary hyperventilation (hyperventilation
Reviewed on June 20, 2019
Accepted on November 25, 2019
                                                               index). All patients in remission underwent brain magnetic resonance imaging at baseline and 33 underwent
                                                               repeated imaging after 12 months, with various brain volume measurements taken.
Published online on February 19, 2020
                                                               Results. Cerebrovascular reactivity indices did not differ between patients in remission, patients with a relapse
                                                               and controls. In patients in remission, CVR did not differ between those with or without contrast-enhancing
                                                               lesions. In patients with a relapse, glucocorticoids significantly reduced both CVR indices. Cerebro­vascular
                                                               reactivity was not related to brain volume, white matter lesion volume, percent brain volume change, and
                                                               the change in total white matter lesion volume.
                                                               Conclusions. In RRMS, CVR appeared normal and unrelated to disease activity. There was no substantial
                                                               association of CVR to brain atrophy and accumulation of white matter lesions.
                                                               Key words: multiple sclerosis, brain atrophy, cerebral blood flow, cerebrovascular reactivity, transcranial
                                                               Doppler ultrasonography

Cite as
Smoliński Ł, Litwin T, Kruk K, Skowrońska M, Kurkowska-
Jastrzębska I, Członkowska A. Cerebrovascular reactivity and
disease activity in relapsing-remitting multiple sclerosis.
Adv Clin Exp Med. 2020;29(2):183–188.
doi:10.17219/acem/114762

DOI
10.17219/acem/114762

Copyright
© 2020 by Wroclaw Medical University
This is an article distributed under the terms of the
Creative Commons Attribution 3.0 Unported (CC BY 3.0)
(https://creativecommons.org/licenses/by/3.0/)
184                                                                                       Ł. Smoliński et al. Cerebrovascular reactivity in MS

Introduction                                                  intravenous methylprednisolone (1 g for 3–5 days) due
                                                              to a relapse (an increase in Extended Disability Status
   Multiple sclerosis (MS) is an inflammatory disease         Scale (EDSS) score of at least 1 point), and 30 healthy
of the central nervous system, but neurodegenerative          controls matched for age, sex and cardiovascular risk fac-
mechanisms are also implicated in the pathogenesis            tors (­Table 1). The study was approved by the Bioethics
of MS.1 For example, in MS, histotoxic hypoxia may cause      Committee of our Institute, and all participants singed
energy deficiency of the brain tissues, which promotes        informed consent before enrolment.
demyelination and axonal loss.2 Energy deficiency in MS
might be worsened by impaired regulation of cerebral          Assessment of cerebrovascular reactivity
blood flow. Notably, many studies have found diffusely
reduced cerebral blood flow in patients with MS compared         Cerebrovascular reactivity was assessed with transcrani-
with healthy age-matched controls.3 Moreover, evidence        al Doppler ultrasonography (TCD) at around noon (11 AM
form magnetic resonance imaging (MRI) and histologic          to 2 PM). We recorded blood flow velocity in the middle
studies shows that most white matter (WM) lesions in pa-      cerebral artery with a 2-megaherz probe fixed with a head-
tients with MS are found in areas with the lowest blood       band (DWL, Singen, Germany). Blood flow was monitored
perfusion, the so-called watershed zones.4–6 Similarly,       in either the left or right middle cerebral artery, whichever
in an animal model of MS, demyelinating lesions tend          had a better signal quality. The mean flow velocity (MFV)
to develop in areas with the worst blood supply.7 Thus,       was calculated over 10–15 heart cycles. During TCD mea-
cerebrovascular reactivity (CVR), which is the capacity       surements, we continuously recorded the end-tidal carbon
of cerebral circulation to match blood supply to metabolic    dioxide concentration (EtCO2) with a capnometer (NMed,
demand, might be important in MS pathology. Cerebro-          Beijing, China). The baseline MFV was recorded after about
vascular reactivity changes might be related to autonomic     5 min of resting. Then, we recorded the MFV after 2 min
dysfunction, which is common in MS. 8,9 Usually, CVR          of hyperventilation (EtCO2 had to decrease by at least 10%
is estimated as a relative increase in cerebral flow after    compared to baseline). After at least 3 min, when the MFV
increasing the systemic carbon dioxide concentration (CO2     and EtCO2 returned to baseline, we recorded the MFV after
inhalation, breath-hold).10,11                                30 s of breath-hold. Cerebrovascular reactivity was estimat-
   Reduced CVR may cause insufficient energy supply, par-     ed with the breath-hold index (BHI) and a CO2-normalized
ticularly to areas with an increased energy demand, such      hyperventilation index (HVΔCO2) as follows:
as damaged neurons or WM lesions infiltrated by meta-                         MFV after breat − hold − baseline MFV
bolically active immune cells.12 Cerebrovascular reactivity           BHI =                                                 ;
                                                                                       baseline MFV × 30
impairment could amplify axonal loss and demyelination.
Indeed, during healthy aging, WM areas with the lowest                                      HVΔCO2 =
CVR are most susceptible to demyelination.13 Similarly,                 baseline MFV − MFV after hyperventilation × 100%
                                                              =                                                                              .
CVR impairment is associated with an increased risk of ce-        baseline MFV × EtCO 2 change from baseline to hyperventilation
rebral ischemia.14
   To date, few studies have investigated CVR in MS,15–17       Higher values of both BHI and HVΔCO2 indicated greater
and one group showed that CVR might be reduced                CVR. In patients with a relapse, TCD measurements were
in MS.18,19 It remains unclear, however, whether clinical     taken on the first and last day of intravenous glucocorti-
and neuroimaging disease activity is related to CVR in MS.    coid treatment, before the first and after the last injection,
We also do not know whether low CVR increases the risks       respectively. In patients in remission, TCD measurements
of brain atrophy and accumulation of demyelinating le-        were taken within 1 h before MRI. Cerebrovascular reac-
sions. Because previous findings on CVR in MS are incon-      tivity was assessed only once in patients in remission and
sistent and come from small studies, we checked whether       controls. Atherosclerosis of the carotid arteries was ruled
CVR was impaired in MS in a larger group of patients.         out by color Doppler ultrasound.
Moreover, we related CVR to clinical and neuroimaging
disease activity and longitudinal changes in brain volume     Magnetic resonance imaging
and WM lesion volume.                                         and image analysis
                                                                 After the TCD study, patients in remission underwent
Material and methods                                          brain MRI, as part of a routine clinical follow-up. With a 1.5 T
                                                              scanner (Philips, Eindhoven, the Netherlands), we acqui­red
Participants                                                  3D T1-weighted images, before and after intravenous gado-
                                                              linium (Gd) injection, (TR, 25 ms; TE, 4.6 ms; field of view,
  The study included 43 patients with RRMS in clinical        240 × 240 mm; voxel resolution, 0.937 × 0.937 × 1 mm) and
remission, for at least 3 months, who received interferon     2D FLAIR images (TR, 11,000 ms; TE, 140 ms; field of view,
beta in our clinic, 30 patients with RRMS who received        0.898 × 0.898 × 3 mm). The presence of Gd-enhancing
Adv Clin Exp Med. 2020;29(2):183–188                                                                                                                       185

(Gd(+)) lesions was assessed by an independent radiologist.                          treatment were compared with the dependent samples
Normalized brain volume (NBV) for head size, and normal-                             t-test. The Mann–Whitney U test was used to compare
ized volumes of grey matter (GM) and WM were measured                                CVR indices between patients with or without Gd(+) le-
based on the T1-weighted images with the SIENAX soft-                                sions. The Pearson coefficient or the Spearman coefficient
ware.20 The lesion-TOADS software was used to measure                                (rho) was calculated to study correlations between pairs
the total volume of WM lesions (TLV) based on the FLAIR                              of variables. A value of p < 0.05 was considered significant.
and T1-weighted images21; TLV was normalized for head                                All analyses were completed in the statistical package R
size based on scaling coefficients derived from SIENAX.                              (www.r-project.org).
Before running lesion-TOADS, we extracted brains from
whole-head images with the SPECTRE tool and registered
the T1-weighted images to the FLAIR images (rigid body                               Results
registration).21 During the study, 33 out of 43 patients
in remission had repeated MRI after 12 months (1 patient                             Clinical and imaging characteristics
entered secondary progressive MS, 3 patients were lost
to follow-up, 6 patients had less than 12 months of follow-                            There were no significant differences in age, proportion
up). For the 33 patients in remission who had follow-up                              of women, and the frequency of cardiovascular risk fac-
brain MRI after 12 months, we calculated the percentage                              tors between patients with MS in remission, patients with
brain volume change (PBVC), with the SIENA software,                                 a relapse of MS and controls (Table 1). Among patients
and the TLV change, with lesion-TOADS.20                                             with MS in remission, the studied brain volumes corre-
                                                                                     lated negatively with EDSS, and disease duration correlated
Statistical analysis                                                                 positively with TLV (Table 2).

  Baseline anthropometric and clinical characteristics                               Cerebrovascular reactivity
were compared between the groups of participants with
one-way analysis of variance (ANOVA), the Mann–Whit-                                    Neither of the 2 CVR indices, i.e., BHI and HVΔCO2, dif-
ney U test, and Fisher’s exact test, as appropriate. In pa-                          fered significantly between patients with MS in remission,
tients with a relapse of MS, the differences in CVR in-                              patients with a relapse of MS before intravenous glucocor-
dices before and after intravenous methylprednisolone                                ticoid treatment and controls (p = 0.56 for BHI; p = 0.1 for

Table 1. Clinical characteristics of patients with relapsing-remitting multiple sclerosis in remission, patients during a relapse and controls
           Variable                    Controls (n = 30)                   Remission (n = 43)                      Relapse (n = 30)              p-value
 Age [years]                               37.2 ±8.5                            38.2 ±8.9                              36.1 ±8.0                  0.60a
 Women, n (%)                               23 (77)                               33 (77)                               24 (80)                   0.96b
 Disease duration [years]                      –                                 6.3 ±4.9                              10.1 ±7.3                  0.02c
 Median EDSS (range)                           –                                1.5 (0–6.0)                          4.0 (2.0–4.0)
186                                                                                                                     Ł. Smoliński et al. Cerebrovascular reactivity in MS

Table 2. Correlations between cerebrovascular indices and clinical and imaging variables in patients with multiple sclerosis in remission (n = 43). Significant
correlations are in bold
        Variable                NBV                    GMV                     WMV                        TLV                    PBVC                       ∆TLV
                             r = –0.47               r = –0.59                r = –0.19                 r = 0.25               r = 0.21                   r = 0.18
 Age
                             p = 0.001               p < 0.001                p = 0.22                  p = 0.11               p = 0.25                   p = 0.31
                              r = –0.29              r = –0.39                r = –0.09                r = 0.34                r = 0.01                  r = 0.03
 Disease duration
                              p = 0.06                p = 0.01                p = 0.58                 p = 0.03                p = 0.99                  p = 0.86
                            rho = –0.34            rho = –0.29               rho = –0.31              rho = –0.05             rho = 0.05                rho = 0.28
 EDSS
                              p = 0.03               p = 0.06                  p = 0.04                 p = 0.73               p = 0.78                  p = 0.11
                             r = –0.46               r = –0.53                r = –0.25                                        r = –0.16                  r = 0.44
 TLV                                                                                                       –
                             p = 0.002               p < 0.001                 p = 0.11                                        p = 0.38                   p = 0.01
                              r = 0.21               r = 0.10                 r = 0.10                 r = –0.03               r = –0.12                  r = –0.1
 BHI
                              p = 0.17               p = 0.50                 p = 0.50                 p = 0.85                p = 0.52                   p = 0.59
                              r = 0.15               r = 0.13                 r = –0.03                r = –0.08               r = –0.21                  r = 0.12
 HVΔCO2
                              p = 0.33               p = 0.41                 p = 0.86                  p = 0.61               p = 0.25                   p = 0.50

NBV – normalized brain volume; GMV – grey matter volume; WMV – white matter volume; TLV – total lesion volume; PBVC – percent brain volume change;
∆TLV – change in total lesion volume; EDSS – Extended Disability Status Scale; BHI – breath-hold indices; HVΔCO2, CO2 – normalized hyperventilation indices.
All brain volumes were measured in milliliters.

A                                                                                    B
      2.0                                                                                         7

      1.8                                                                                                                                        p = 0.04
                                                      p = 0.04                                    6
      1.6

      1.4                                                                                         5

      1.2
                                                                                                  4
                                                                                     HVΔCO2 [%]
BHI

      1.0
                                                                                                  3
      0.8

      0.6                                                                                         2

      0.4
                                                                                                  1
      0.2

      0.0                                                                                         0

               controls     MS remission      MS relapse     MS relapse                               controls      MS remission      MS relapse     MS relapse
                                            before steroids after steroids                                                          before steroids after steroids

Fig. 1. (A) Breath-hold indices (BHI) and (B) CO2-normalized hyperventilation indices (HVΔCO2) in healthy controls (n = 30), patients with multiple sclerosis (MS)
in remission (n = 43), and patients with a relapse of MS before and after intravenous glucocorticoid treatment (n = 30). The middle bar represents the mean,
and the upper and lower bars represent standard deviations (SD)

HVΔCO2; Fig. 1). In patients with a relapse of MS, however,                           Discussion
both CVR indices decreased significantly after intravenous
glucocorticoid treatment (p = 0.04 for BHI and HVΔCO2;                                   Our findings suggest that CVR is normal in RRMS and
Fig. 1).                                                                              that it does not change during a relapse of MS or in patients
  Among patients with remission, BHI and HVΔCO2 did                                   with Gd(+) lesions. However, we found that treatment with
not differ between those with (n = 10) or without (n = 33)                            intravenous glucocorticoids reduced CVR in patients with
Gd(+) lesions (p = 0.20 for BHI, and p = 0.81 for HVΔCO2).                            a relapse of MS. In patients with MS in clinical remission,
Among patients in remission, neither of the 2 CVR indices                             CVR was not related to any of the brain volume measures,
correlated with the brain volumes studied, TLV, PBVC,                                 including the longitudinal change in brain volume and
and TLV change (Table 2). Similarly, BHI and HVΔCO2 did                               WM lesion volume. Thus, it seems that there is no substan-
not correlate significantly with EDSS or disease duration                             tial relationship between CVR and diseases activity and
in patients in remission or relapse (data not shown).                                 neuroimaging markers of disease progression in RRMS.
Adv Clin Exp Med. 2020;29(2):183–188                                                                                                187

   Our findings are in line with those in most previous             that we observed might be due to physiological variability
studies, which have reported normal CVR in patients with            or becoming familiar with the procedure by participants.
MS. In the study by Uzuner et al. (n = 12), CVR measured               Because CVR is a measure of cerebral metabolic reserve,
with TCD did not differ between patients with RRMS and              we suspected that reduced CVR would be related to greater
controls. In contrast to our study, those investigators did         brain atrophy and greater accumulation of WM lesions,
not find any significant effect of glucocorticoids on CVR.16        particularly because most WM lesions in MS occur in ar-
In another TCD-based study, Khorvash et al. reported that           eas with reduced blood flow and reduced CVR.4–6,13 How-
CVR was higher in RRMS than in patients with migraines.             ever, in our study, CVR was not related to brain volume
However, that study did not include healthy controls.15             reduction and the change in WM lesion volume.
Similar to our findings, Metzgen et al., who measured                  Our study had limitations. First, it included a relatively
CVR with blood oxygen level-dependent (BOLD) func-                  small group of patients. However, with over 70 patients with
tional MRI (fMRI) after CO2 inhalation, observed nor-               RRMS, our study is the largest study on CVR in MS to date.
mal CVR in MS and did not find CVR to correlate with                Additionally, the included number of patients allowed us
brain volume and WM lesion volume.17 Those investiga-               to observe the well-established relationships in MS, such
tors showed that CVR was reduced in patients with MS                as the correlation between EDSS, disease duration, and brain
and cognitive impairment, but this relationship is found            volume. Because we did not include patients with progres-
in other diseases as well.22 To date, based on arterial spin        sive MS, our findings may not hold true for these patients.
labeling (ASL) fMRI, only 1 group has reported reduced              Second, we included patients with MS in remission who re-
CVR in MS. Moreover, that group found that CVR corre-               ceived interferon beta only. Although the effect of interferon
lated negatively with WM lesion volume and GM atrophy.18            beta on CVR is unknown, a study among 5 patients with MS
ASL-based fMRI may be the best method to study CVR                  showed that interferon beta increased blood flow in the basal
impairment in MS; however, CVR measurements based                   ganglia.34 Moreover, interferon beta, similar to other disease-
on ASL and BOLD fMRI usually lead to similar conclu-                modifying treatment, slows the rate of brain atrophy and
sions.23,24 Moreover, in Alzheimer’s disease, reduced CVR           lesion accumulation in MS.35 Thus, the potential relationship
has been demonstrated with many techniques, including               between CVR and brain atrophy along with lesion accumula-
BOLD, ASL and TCD.25                                                tion might be abolished by treatment with interferon beta.
   Marshall et al. hypothesized that CVR might be reduced           Third, some investigators regard breath-holding a less reli-
in MS due to habituation of cerebral vasculature to chroni-         able hypercapnic stimulus than CO2 inhalation.36 Others,
cally increased nitric oxide concentrations.18 However, ni-         however, have found these 2 stimuli equivalent for estimating
tric oxide seems essential for hypercapnia-induced cerebral         CVR.37 Moreover, fMRI might be better than TCD for mea-
vasodilation,26 and consequently for CVR, and we were not           suring CVR, but there is a good agreement between these
able to find any previous evidence that nitric oxide, when          2 approaches.38 In addition to breath-holding, we used vol-
chronically increased, like in MS,27 has an opposing effect.28,29   untary hyperventilation to measure CO2-normalized CVR.
In contrast, scavenging of nitric oxide by reactive oxygen spe-     The relationships between CVR and other variables in our
cies (ROS) reduces vasodilation, which could occur in MS.30,31      study were consistent when assessed with the 2 CVR indices
   Different effects of inflammation, such as increased             (BHI, HVΔCO2). Apart from the use of 2 vasoactive stimuli
oxidative stress, might reduce CVR. For example, in pa-             to measure CVR, the strengths of our study include enrol-
tients with diabetes, higher concentrations of inflamma-            ment of patients in remission and a relapse of MS, measure-
tory markers were associated with reduced CVR.32 In our             ment of CVR before and after glucocorticoid treatment, and
study, CVR was similar in patients with clinical remission          longitudinal MRI analyses. We also measured CVR in all
and a relapse of MS, and Gd(+) lesions were not associated          participants at the same time of the day, because CVR may
with reduced CVR. However, we did not measure inflam-               decrease by over a third from morning to evening.29
matory markers in our study. We observed that treatment                We conclude that CVR is normal and is not related
with glucocorticoids, which have anti-inflammatory ef-              to disease activity in patients with RRMS. Moreover, CVR
fects, not only did not improve CVR, but significantly              seems unrelated to the accumulation of WM lesions and
reduced it. Similarly, in patients with diabetes, reduced           brain atrophy in these patients. It would be worthwhile
CVR was associated with increased concentrations of en-             to verify our findings with fMRI-based CVR measure-
dogenous cortisol.32 We suspect that the glucocorticoid-            ments, preferably in larger studies that would enroll pa-
induced reduction of CVR might be due to a direct effect            tients with progressive MS.
of glucocorticoids on cerebral vessels. For instance, glu-
cocorticoids decrease endothelial synthesis of nitric oxide,        ORCID iDs
and they increase the sensitivity of vascular smooth muscle         Łukasz Smoliński  https://orcid.org/0000-0003-1614-7069
cells to endogenous vasoconstrictions, such as norepineph-          Tomasz Litwin  https://orcid.org/0000-0003-2670-9651
rine.33 However, we measured CVR twice in patients with             Karolina Kruk  https://orcid.org/0000-0003-0149-5212
                                                                    Marta Skowrońska  https://orcid.org/0000-0002-0826-7821
a relapse only and not in those in remission or in con-             Iwona Kurkowska-Jastrzębska  https://orcid.org/0000-0001-6553-9080
trols. Therefore, the effect of glucocorticoids on CVR              Anna Członkowska  https://orcid.org/0000-0002-1956-1866
188                                                                                                              Ł. Smoliński et al. Cerebrovascular reactivity in MS

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